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CMC Global
- Hanoi, Vietnam
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09:21
(UTC +07:00) - in/tungtran420
RAG
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Unified framework for building enterprise RAG pipelines with small, specialized models
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
The first AI Agent Server, Eidolon is a pluggable Agent SDK and enterprise ready, deployment server for Agentic applications
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
High accuracy RAG for answering questions from scientific documents with citations
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Supercharge Your LLM Application Evaluations 🚀
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…
Build, evaluate and observe LLM apps
Tiny client for LLMs with vision and tool calling. As simple as it gets.
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
A modular graph-based Retrieval-Augmented Generation (RAG) system
Convert any PDF into a podcast episode!
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Integrate cutting-edge LLM technology quickly and easily into your apps
Solution Accelerator to show how to build your own copilot